Rémy Chicheportiche, Jean-Philippe Bouchaud
posted by Matúš Medo
(8 August 2012)
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Accurate goodness-of-fit tests for the extreme tails of empirical
distributions is a very important issue, relevant in many contexts, including
geophysics, insurance, and finance. We have derived exact asymptotic results
for a generalization of the large-sample Kolmogorov-Smirnov test, well suited
to testing these extreme tails. In passing, we have rederived and made more
precise the approximate limit solutions found originally in unrelated fields,
first in [L. Turban, J. Phys. A 25, 127 (1992)] and later in [P. L. Krapivsky
and S. Redner, Am. J. Phys. 64, 546 (1996)].
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